توضیحات
مقدمه
توانمندیهای کسب شده
سرفصلهای دوره
Step 1: Data Wrangling
Data Gathering
Data Accessing
Data Cleaning
Real Project1: Income Statement for Forecasting by Machine Learning & Fundamentally Analysis
Real Project2: Project of Twitter account
Step 2: Data Visualization
Data Exploration & Visualization
Analysis of Categorical Variables
Analysis of numerical Variables
Charting for Relation Between Categorical and Numerical Variables
Multivariate Exploration of Data
Real Project: Data on Cars used for Testing Fuel Economy
Step 3: Data Forecasting
Introduction to Machine Learning
Supervised Learning Algorithm Theory
Unsupervised Learning Algorithm Theory
KNN / Regression Models / Bays classifier / Decision Tree
K-Means / SVM
Introduction to Metrics for Analyzing any Forecasting
Real Project1: Forecasting Home Price using some Features Home
Real Project2: Forecasting the Color of Diamonds in real Database
Introduction to Data Analysis, Data Scientist and Machine Learning Engineer
What is the role of Data Analysis
Data Scientist pipeline completely
What are Machine Learning & Deep Learning
Data Structures, Expressions and Functions in Python
Python & Anaconda & Jupyter Notebook
List / Tuple / Dictionary / Set / String ….
Class / Object / Function
For Loop / While / If / If Else
Important Libraries for Data Scientist
Data Preprocessing : Pandas / OS / Shutil / Sklearn
Numerical Libraries for Matrix : Numpy / Tensorflow / Keras
Data Visualization : Matplotlib / Seaborn / Plotty
More than 20 Examples and Small Projects
Real Project1: Exploring Weather Trend using Python and Excel
Real Project2: Medical Appointment for Data Analysis
Statistics in Python for Data Analysis
Descriptive Statistics
Hypothesis Testing & Confidence Level
Regression Models
Logistic Regression
Analyze A/B Test
Real Project1: A/B test run by selecting the best stock
Real Project2: A/B test run by an e-commerce website
نقد و بررسیها
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